| Gadolinium-loaded liposomes allow for real-time magnetic resonance imaging of convection-enhanced delivery in the primate brain R Saito, MT Krauze, JR Bringas, C Noble, TR McKnight, P Jackson, ... Experimental neurology 196 (2), 381-389, 2005 | 180 | 2005 |
| Patient-Specific Mathematical Neuro-Oncology: Using a Simple Proliferation and Invasion Tumor Model to Inform Clinical Practice PR Jackson, J Juliano, A Hawkins-Daarud, RC Rockne, KR Swanson Bulletin of mathematical biology 77 (5), 846-856, 2015 | 112 | 2015 |
| Digital twins for health: a scoping review E Katsoulakis, Q Wang, H Wu, L Shahriyari, R Fletcher, J Liu, L Achenie, ... npj Digital Medicine 7 (1), 77, 2024 | 108 | 2024 |
| Real-time visualization and characterization of liposomal delivery into the monkey brain by magnetic resonance imaging MT Krauze, TR Mcknight, Y Yamashita, J Bringas, CO Noble, R Saito, ... Brain research protocols 16 (1-3), 20-26, 2005 | 98 | 2005 |
| Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI N Gaw, A Hawkins-Daarud, LS Hu, H Yoon, L Wang, Y Xu, PR Jackson, ... Scientific reports 9 (1), 10063, 2019 | 92 | 2019 |
| Integrated mapping of pharmacokinetics and pharmacodynamics in a patient-derived xenograft model of glioblastoma EC Randall, KB Emdal, JK Laramy, M Kim, A Roos, D Calligaris, ... Nature communications 9 (1), 4904, 2018 | 78 | 2018 |
| Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation EA Stahlberg, M Abdel-Rahman, B Aguilar, A Asadpoure, RA Beckman, ... Frontiers in Digital Health 4, 1007784, 2022 | 58 | 2022 |
| Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning LS Hu, H Yoon, JM Eschbacher, LC Baxter, AC Dueck, A Nespodzany, ... American Journal of Neuroradiology 40 (3), 418-425, 2019 | 42 | 2019 |
| Multiparameter MRI predictors of long-term survival in glioblastoma multiforme O Stringfield, JA Arrington, SK Johnston, NG Rognin, NC Peeri, ... Tomography 5 (1), 135-144, 2019 | 39 | 2019 |
| A deep convolutional neural network for annotation of magnetic resonance imaging sequence type S Ranjbar, KW Singleton, PR Jackson, CR Rickertsen, SA Whitmire, ... Journal of digital imaging 33, 439-446, 2020 | 36 | 2020 |
| Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma LS Hu, L Wang, A Hawkins-Daarud, JM Eschbacher, KW Singleton, ... Scientific reports 11 (1), 3932, 2021 | 29 | 2021 |
| A Mathematical Model of Breast Tumor Progression Based on Immune Infiltration N Mohammad Mirzaei, S Su, D Sofia, M Hegarty, MH Abdel-Rahman, ... Journal of Personalized Medicine 11 (10), 1031, 2021 | 27 | 2021 |
| Distinct Phenotypic Clusters of Glioblastoma Growth and Response Kinetics Predict Survival CA Rayfield, F Grady, G De Leon, R Rockne, E Carrasco, P Jackson, ... JCO Clinical Cancer Informatics 2, 1-14, 2018 | 19 | 2018 |
| Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures LS Hu, F D’Angelo, TM Weiskittel, FP Caruso, SP Fortin Ensign, ... Nature communications 14 (1), 6066, 2023 | 18 | 2023 |
| Improved model prediction of glioma growth utilizing tissue-specific boundary effects J Jacobs, RC Rockne, AJ Hawkins-Daarud, PR Jackson, SK Johnston, ... Mathematical biosciences 312, 59-66, 2019 | 17 | 2019 |
| Image-based metric of invasiveness predicts response to adjuvant temozolomide for primary glioblastoma SC Massey, H White, P Whitmire, T Doyle, SK Johnston, KW Singleton, ... PloS one 15 (3), e0230492, 2020 | 13 | 2020 |
| A digital reference object for the 3D Hoffman brain phantom for characterization of PET neuroimaging quality RL Harrison, BF Elston, DW Byrd, AM Alessio, J Jacobs, RC Rockne, ... 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS …, 2013 | 9 | 2013 |
| Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs S Ranjbar, KW Singleton, L Curtin, SC Massey, A Hawkins-Daarud, ... Adolescent Brain Cognitive Development Neurocognitive Prediction: First …, 2019 | 6 | 2019 |
| Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm L Wang, H Wang, F D’Angelo, L Curtin, CP Sereduk, GD Leon, ... Plos one 19 (4), e0299267, 2024 | 5 | 2024 |
| ENvironmental dynamics underlying responsive extreme survivors (ENDURES) of glioblastoma: a multidisciplinary team-based, multifactorial analytical approach SK Johnston, P Whitmire, SC Massey, P Kumthekar, AB Porter, ... American journal of clinical oncology 42 (8), 655-661, 2019 | 5 | 2019 |
Kristin R. SwansonVasak and Anna Maria Polak Professor in Cancer Research; Vice Chair, Neurosurgery, Mayo Clinicยืนยันอีเมลแล้วที่ mayo.edu
